Precision and Digital Agriculture
A section of Agronomy (ISSN 2073-4395).
Section Information
To improve the effectiveness, sustainability, and resilience of crop production and agronomic processes, a variety of digital and precision technologies—such as AI, IoT, deep learning, imaging, and machine learning—are being integrated into key areas such as soil and nutrient management, agronomic crop protection, plant breeding, post-harvest handling, and resource optimization. This section highlights research that translates these innovations into practical solutions for crop and yield prediction, production, and agronomic management. Preference is given to studies where digital and precision technologies are applied within the context of crop science and agronomic systems, rather than those focused primarily on algorithm development, robotics design, or hardware engineering, without clear agricultural relevance. Focused on bridging cutting-edge advancements in digital agriculture with real-world agronomic practices, this section welcomes original research, reviews, mini-reviews, perspectives, and methodology papers that support sustainable intensification, environmental stewardship, and greater resilience in crop production systems.
Keywords
- data-driven technologies
- artificial intelligence (AI)
- internet of things (IoT)
- deep learning
- machine learning
- imaging technology
- automation
- autonomous vehicles
- sensor networks
- remote sensing
- precision phenotyping
- crop and yield prediction and monitoring
- precision technology-driven integrated crop management.
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Machine Learning for Genetic Data Analysis and Precision Crop Breeding (Deadline: 15 July 2026)
- Intelligent Detection of Crop Growth Phenotyping Toward Sustainability: Sensors, IoT Technologies and Signal Processing (Deadline: 15 July 2026)
- Innovations in Agriculture for Sustainable Agro-Systems (Deadline: 15 July 2026)
- Advances in Remote Sensing Agronomic Application for Mapping and Modeling Soil Properties (Deadline: 20 July 2026)
- Remote Sensing Diagnosis and Intelligent Decision-Making for Water and Nitrogen Physiology of Crops (Deadline: 20 July 2026)
- Research Progress in Agricultural Robots in Arable Farming (Deadline: 20 July 2026)
- Application of Deep and Machine Learning in Crop Monitoring and Management—2nd Edition (Deadline: 31 July 2026)
- Smart Agriculture: Cloud Data Control Platform (Deadline: 31 July 2026)
- Spectroscopy in Modern Agriculture: Current Achievements, Challenges, and Future Perspectives (Deadline: 31 July 2026)
- Application of Machine Learning and Modelling in Food Crops (Deadline: 31 July 2026)
- Current Status and Applications of Remote Sensing in Plant Pest and Disease Detection (Deadline: 31 July 2026)
- Crop Production in the Era of Climate Change (Deadline: 31 July 2026)
- Intelligent Sensing and Machine Learning for Crop Maturity and Harvest Quality Assessment (Deadline: 31 July 2026)
- Intelligent Detection and Classification of External Traits in Crop Plants, Fruits, and Vegetables (Deadline: 15 August 2026)
- Application and Innovation of Digital Technologies in Controlled Environment Agriculture (Deadline: 25 August 2026)
- Robotics and Automation in Farming—2nd Edition (Deadline: 28 August 2026)
- AI, Machine Vision, and Navigation Technologies for Rice and Wheat Cultivation (Deadline: 31 August 2026)
- Advanced Spectral Remote Sensing for Smart Crop Monitoring in Agriculture and Horticulture (Deadline: 31 August 2026)
- Remote Sensing Assessment of Soil and Crop Health Under Varying Agronomic Practices (Deadline: 31 August 2026)
- Advanced Machine Learning in Agriculture—2nd Edition (Deadline: 31 August 2026)
- Artificial Neural Network-Based Methods in Agriculture (Deadline: 20 September 2026)
- Smart Farming Technologies for Sustainable Agriculture—2nd Edition (Deadline: 25 September 2026)
- Smart Technologies for Pre- and Postharvest Quality Assessment of Fruits (Deadline: 25 September 2026)
- Smart Orchard Equipment: Advances in Precision Management Technologies (Deadline: 30 September 2026)
- Robotics for Agricultural Production (Deadline: 30 September 2026)
- Novel Studies in High-Performance and Smart Plant Protection Products Application—3rd Edition (Deadline: 30 September 2026)
- Precision Agriculture and Crop Models for Climate Change Adaptation (Deadline: 30 September 2026)
- Agricultural Imagery and Machine Vision (Deadline: 30 September 2026)
- Modeling for Risk Assessment of Crop Health and Yield Prediction (Deadline: 30 September 2026)
- Enhancing Generalization in Agricultural AI: Bridging Data Gaps and Boosting Model Robustness (Deadline: 15 October 2026)
- Smart Agriculture for Crop Phenotyping (Deadline: 20 October 2026)
- Precision Spray Application Technologies in Fruit Crops for Efficient and Sustainable Production (Deadline: 25 October 2026)
- Digital Twin and AI-Enhanced Simulation in Agricultural Systems (Deadline: 25 October 2026)
- Next-Generation Pesticide Application Technologies: Precision, Safety and Environmental Sustainability (Deadline: 31 October 2026)
- Integrating Yield Maps, Soil Data, and IoT for Smarter Farming (Deadline: 31 October 2026)
- Agricultural Monitoring and Yield Assessment Through Remote Sensing and GIS (Deadline: 10 November 2026)
- The Revision of Production Potentials and Yield Gaps in Field Crops (Deadline: 20 November 2026)
- Sky Guardians of Agriculture: Drones for Efficient Plant Health Surveillance (Deadline: 30 November 2026)
- Smart Farming: Advancing Techniques for High-Value Crops (Deadline: 30 November 2026)
- Advancing Leaf Area Index (LAI) Measurement for Climate-Smart Agriculture: Field-Based and UAV-Driven Approaches (Deadline: 30 November 2026)
- Precise Management of Crop Growth Environment in Agricultural Greenhouses (Deadline: 30 November 2026)
- Facility Agriculture Robots and Autonomous Unmanned Management for Crops—2nd Edition (Deadline: 15 December 2026)
- Data-Driven Approaches to Crop Protection Under Physical and Chemical Stresses: Methods, Systems, and Applications (Deadline: 30 December 2026)
- Artificial Intelligence and Human–Computer Interactions in Agricultural Production (Deadline: 30 December 2026)
- Advancing Plant Phenotyping for Precision Crop Growth Monitoring and Forecast Leveraging In Situ, Remote and Proximal Sensing, and AI (Deadline: 31 December 2026)
- Intelligent Control of Greenhouse Climate (Deadline: 31 December 2026)
- Remote Sensing and GIS in Sustainable and Precision Agriculture (Deadline: 31 December 2026)
- Crop Monitoring and Yield Prediction for Arid and Semi-Arid Farming Systems (Deadline: 20 January 2027)
- UAV Sensors and Algorithms in Plant Phenotype Studies (Deadline: 20 January 2027)
- Vegetation Remote Sensing for Sustainable Water and Nutrient Management in Agriculture (Deadline: 28 January 2027)
- Smart Seed Systems: AI-Driven Seed Quality, Prediction & Precision Sowing (Deadline: 30 January 2027)
- Advances in Intelligent Agricultural Facilities, Equipment and Technologies for Sustainable Crop Production (Deadline: 31 January 2027)
- Intelligent Farming Equipment: Optimization Design, Dynamics Control, and Machine Learning Applications (Deadline: 31 January 2027)
- Crop Nutrition Diagnosis and Efficient Production—2nd Edition (Deadline: 31 January 2027)
- Advances in Precision Pesticide Spraying Technology and Equipment—2nd Edition (Deadline: 31 January 2027)
- Smart Agricultural Equipment and Automation for Crop Production (Deadline: 31 January 2027)
- Digital Twins in Precision Agriculture (Deadline: 10 February 2027)
- Intelligent Orchard Management Machine: Optimization Design, Digital Map, Intelligent Control, Real-Time Sensing, and Machine Learning Applications (Deadline: 15 February 2027)
- Remote Sensing and Machine Learning for Crop Phenotyping and Structural Analysis (Deadline: 20 February 2027)
- NextAge: AI-Driven Autonomous Agriculture (Deadline: 28 February 2027)
- Advancements in Precision Fertilization and Water Management for Sustainable Agriculture—2nd Edition (Deadline: 28 February 2027)
- Intelligent Crop Stress Monitoring System Based on UAV Multimodal Data (Deadline: 28 February 2027)
- Next-Generation Crop Management: Bridging AI Vision and Sensor Fusion for Smarter Agronomy (Deadline: 15 March 2027)
Topical Collection
Following topical collection within this section is currently open for submissions:
